Cover Image

HYB-VITON: A Hybrid Approach to Virtual Try-On Combining Explicit and Implicit Warping

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Takemoto, Kosuke, Koshinaka, Takafumi
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SIFT-VTON: Geometric Correspondence Supervision on Cross-Attention for Virtual Try-On
by: Takemoto, Kosuke, et al.
Published: (2026)

TED-VITON: Transformer-Empowered Diffusion Models for Virtual Try-On
by: Wan, Zhenchen, et al.
Published: (2024)

Reading Is Believing: Revisiting Language Bottleneck Models for Image Classification
by: Udo, Honori, et al.
Published: (2024)

VITON-DRR: Details Retention Virtual Try-on via Non-rigid Registration
by: Li, Ben, et al.
Published: (2025)

EfficientVITON: An Efficient Virtual Try-On Model using Optimized Diffusion Process
by: Atef, Mostafa, et al.
Published: (2025)

MF-VITON: High-Fidelity Mask-Free Virtual Try-On with Minimal Input
by: Wan, Zhenchen, et al.
Published: (2025)

ART-VITON: Measurement-Guided Latent Diffusion for Artifact-Free Virtual Try-On
by: Park, Junseo, et al.
Published: (2025)

Shape-Guided Clothing Warping for Virtual Try-On
by: Han, Xiaoyu, et al.
Published: (2025)

FW-VTON: Flattening-and-Warping for Person-to-Person Virtual Try-on
by: Wang, Zheng, et al.
Published: (2025)

Limb-Aware Virtual Try-On Network with Progressive Clothing Warping
by: Zhang, Shengping, et al.
Published: (2025)

DiffFit: Disentangled Garment Warping and Texture Refinement for Virtual Try-On
by: Xu, Xiang
Published: (2025)

DualFit: A Two-Stage Virtual Try-On via Warping and Synthesis
by: Tran, Minh, et al.
Published: (2025)

VITON-DiT: Learning In-the-Wild Video Try-On from Human Dance Videos via Diffusion Transformers
by: Zheng, Jun, et al.
Published: (2024)

GraVITON: Graph based garment warping with attention guided inversion for Virtual-tryon
by: Pathak, Sanhita, et al.
Published: (2024)

Single Stage Warped Cloth Learning and Semantic-Contextual Attention Feature Fusion for Virtual TryOn
by: Pathak, Sanhita, et al.
Published: (2023)

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On
by: Zhang, Delong, et al.
Published: (2024)

DiffusionTrend: A Minimalist Approach to Virtual Fashion Try-On
by: Zhan, Wengyi, et al.
Published: (2024)

OmniTry: Virtual Try-On Anything without Masks
by: Feng, Yutong, et al.
Published: (2025)

GlamTry: Advancing Virtual Try-On for High-End Accessories
by: Chang, Ting-Yu, et al.
Published: (2024)

Dynamic Try-On: Taming Video Virtual Try-on with Dynamic Attention Mechanism
by: Zheng, Jun, et al.
Published: (2024)

Dress-ED: Instruction-Guided Editing for Virtual Try-On and Try-Off
by: Sanguigni, Fulvio, et al.
Published: (2026)

Image-Based Virtual Try-On: A Survey
by: Song, Dan, et al.
Published: (2023)

Progressive Limb-Aware Virtual Try-On
by: Han, Xiaoyu, et al.
Published: (2025)

Significance of Anatomical Constraints in Virtual Try-On
by: Roy, Debapriya, et al.
Published: (2024)

MagicTryOn: Harnessing Diffusion Transformer for Garment-Preserving Video Virtual Try-on
by: Li, Guangyuan, et al.
Published: (2025)

iTryOn: Mastering Interactive Video Virtual Try-On with Spatial-Semantic Guidance
by: Zheng, Jun, et al.
Published: (2026)

DirectTryOn: One-Step Virtual Try-On via Straightened Conditional Transport
by: Sun, Xianbing, et al.
Published: (2026)

Virtual Try-On for Cultural Clothing: A Benchmarking Study
by: Islam, Muhammad Tausif Ul, et al.
Published: (2026)

XGrid-Mapping: Explicit Implicit Hybrid Grid Submaps for Efficient Incremental Neural LiDAR Mapping
by: Song, Zeqing, et al.
Published: (2025)

Clothing agnostic Pre-inpainting Virtual Try-ON
by: Kim, Sehyun, et al.
Published: (2025)

Significance of Skeleton-based Features in Virtual Try-On
by: Roy, Debapriya, et al.
Published: (2022)

Hierarchical Cross-Attention Network for Virtual Try-On
by: Tang, Hao, et al.
Published: (2024)

CORAL: Correspondence Alignment for Improved Virtual Try-On
by: Kim, Jiyoung, et al.
Published: (2026)

Tunnel Try-on: Excavating Spatial-temporal Tunnels for High-quality Virtual Try-on in Videos
by: Xu, Zhengze, et al.
Published: (2024)

Lightweight Stochastic Video Prediction via Hybrid Warping
by: Kotoyori, Kazuki, et al.
Published: (2024)

Editing Implicit and Explicit Representations of Radiance Fields: A Survey
by: Hubert, Arthur, et al.
Published: (2024)

Undress to Redress: A Training-Free Framework for Virtual Try-On
by: Li, Zhiying, et al.
Published: (2025)

TryOn-Adapter: Efficient Fine-Grained Clothing Identity Adaptation for High-Fidelity Virtual Try-On
by: Xing, Jiazheng, et al.
Published: (2024)

Implicit Neural Surface Deformation with Explicit Velocity Fields
by: Sang, Lu, et al.
Published: (2025)

Implicit and Explicit Commonsense for Multi-sentence Video Captioning
by: Chou, Shih-Han, et al.
Published: (2023)